Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...
IEEE

Developing a Logistic Regression Model for Predicting Chronic Kidney Disease

Abstract: This study presents an optimized Logistic Regression-based predictive model for early detection of Chronic Kidney Disease (CKD) using clinical and demographic data. The framework integrates ...
GitHub

rasikasrimal/covid-19-data-analysis-using-python

This project provides a hands-on exploration of COVID19 data analysis techniques using Python. It covers data preparation, analysis, and visualization, aiming to understand correlations with happiness ...
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
IEEE

Secure and Efficient Logistic Regression With Secret-Sharing MPC and Differential Privacy

Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...